Inflation and the Covid-19 pandemic have put pharmaceutical productivity front and center in recent years. Thus, drug companies are under mounting pressure to prove that new treatments are safe and ...

Genetically-humanized FcRn mice provide translational pharmacokinetics (PK) and pharmacodynamics (PD) data for antibody-based therapeutics. The image illustrates a therapeutic antibody (blue) adhering ...

This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Life sciences is among the most ...

The Singapore-based AI clinical trial engine powering Asia’s—especially China’s—rapid rise in the biotech industry. Deep ...

In my previous article, I discussed how AI is rapidly transforming the drug discovery process, significantly accelerating timelines and reducing costs. However, while AI's potential in this domain is ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

BostonGene has entered a new collaboration with AstraZeneca to apply its foundation AI model to oncology drug development, aiming to improve early trial decision-making around safety, efficacy, and ...

La Jolla scientists are stepping into a national push to get new medicines from lab bench to bedside faster. The project, known as PREDICTS, has been awarded up to $31.7 million from a federal health ...

A frequently reported fact in the drug discovery and development industry is that approximately 90 % of drug candidates reaching clinical trials fail, with even higher amounts discarded before ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...